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The BeOpen project focuses on improving the accessibility, interoperability, and usability of public-sector open data, particularly high-value datasets related to statistics, mobility, environmental monitoring, Earth observation, and geospatial intelligence. While the availability of open data has increased, many datasets remain difficult to discover and integrate due to inconsistent formats, limited machine readability, and a lack of standardized metadata and quality control. These challenges limit the potential of open data in supporting AI applications, fostering innovation, and enabling data-driven decision-making in urban planning and sustainability.
To address these barriers, BeOpen is developing a framework that streamlines the entire lifecycle of open data management. This includes tools and methodologies for data collection, curation, semantic annotation, harmonization, and publication, ensuring that datasets follow FAIR (Findable, Accessible, Interoperable, and Reusable) principles. The project provides open-source tools, replicable data pipelines, and structured ontologies to ensure that high-value datasets are machine-readable and accessible via bulk downloads or APIs. Legal interoperability is also a key focus, ensuring compliance with European regulations and alignment with future data spaces for sustainable urban development.
BeOpen is being tested and validated through pilot programs in six countries: Germany, Greece, Italy, Lithuania, Portugal, and Spain. These pilots will demonstrate how public-sector open data can be improved and integrated into applications supporting smart cities, environmental monitoring, and mobility planning. The project will also contribute to knowledge-sharing through networks such as Open and Agile Smart Cities, the FIWARE city community, and the Living-in.eu initiative to encourage broader adoption.
Latitudo 40 contributes to BeOpen by bringing expertise in AI-powered geospatial analytics and Earth observation data processing. The company enhances the quality and usability of geospatial and environmental datasets by applying artificial intelligence and machine learning techniques. This improves the resolution, standardization, and practical application of satellite-derived data, ensuring seamless integration into urban planning, climate adaptation strategies, and infrastructure management. By leveraging AI, Latitudo 40 supports automatic feature extraction, land-use classification, and environmental change detection, making complex geospatial data more accessible and actionable for policymakers, researchers, and city planners.
Through BeOpen, Latitudo 40 helps bridge the gap between raw geospatial data and real-world applications, ensuring that high-value environmental datasets are optimized for decision-making. By integrating enhanced datasets into the project framework, BeOpen supports smarter, data-driven urban policies, sustainable resource management, and improved climate resilience.
For more information, visit beopen-dep.eu.
